Artificial emotional intelligence beyond East and West

Daniel White, H. Katsuno
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Abstract

Artificial emotional intelligence refers to technologies that perform, recognise, or record affective states. More than merely a technological function, however, it is also a social process whereby cultural assumptions about what emotions are and how they are made are translated into composites of code, software, and mechanical platforms that operationalise certain models of emotion over others. This essay illustrates how aspects of cultural difference are both incorporated and elided in projects that equip machines with emotional intelligence. It does so by comparing the field of affective computing, which emerged in the North-Atlantic in the 1990s, with kansei (affective) engineering, which developed in Japan in the 1980s. It then leverages this comparison to argue for more diverse applications of the culture concept in both the development and critique of systems with artificial emotional intelligence. Issue 1 This article belongs to Concepts of the digital society, a special section of Internet Policy Review guest-edited by Christian Katzenbach and Thomas Christian Bächle.
超越东西方的人工情商
人工情绪智能是指执行、识别或记录情感状态的技术。然而,这不仅仅是一种技术功能,它也是一个社会过程,在这个过程中,关于情感是什么以及如何产生情感的文化假设被转化为代码、软件和机械平台的组合,这些平台可以操作某些情感模型,而不是其他模型。这篇文章说明了在为机器配备情商的项目中,文化差异的各个方面是如何被纳入和忽略的。它通过比较20世纪90年代在北大西洋兴起的情感计算领域与20世纪80年代在日本发展起来的感性工程学来做到这一点。然后,它利用这种比较来论证文化概念在人工情感智能系统的开发和批判中更多样化的应用。本文隶属于《互联网政策评论》特约栏目《数字社会的概念》,由克里斯蒂安·卡岑巴赫和托马斯·克里斯蒂安编辑Bächle。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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